Digital Transformation

This evolution of healthcare involves using technology to improve diagnosis, treatments, monitor patients, enhance hospital operations and culture, and bolster consumer-focused care. This includes virtual reality tools, wearable devices, workflow software, health apps and other digital health tools.

artificial intelligence technology

Industry Watcher’s Digest

The VA is throwing in with the FDA to launch a cross-agency AI testing facility. 

AI regulation

A modest proposal to rally AI regulators around a simple game plan

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Michelle Tarver, MD, PhD, has her work cut out for her. 

artificial intelligence AI in healthcare

4 points crucial to the nimble regulation of GenAI

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Many if not most of today’s software developers use AI coding tools every day. Yet nearly 40% have little to no trust in AI-generated code. 

AI artificial intelligence for beginners

5 tips to learn AI from scratch and for free

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

The CEO of the country’s largest for-profit, publicly traded health system is bullish on healthcare AI. 

AI governance meeting

Good AI governance can spell the difference between smashing success and mere learning experience

Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.